Sales Quantitative Research team is looking for a highly-talented Vice President Data Scientist based out of our London office. If you are keen to join a growing global team of exceptional quants, where professional growth and learning are encouraged, you may be the perfect fit for our team.

Job summary:

As a Vice President for the Quantitative Research Data Science team, you will work on the trading floor in London. You will partner with Markets Sales to uncover actionable insights from data, driving business growth. In this dynamic team environment, your curiosity, exceptional analytical skills, and ability to rapidly deliver production-quality Python code will help you thrive.

Job Responsibilities:

• Collaborate closely with Markets Sales to build algorithms and workflows that enhance client service.
• Proactively identify opportunities for Quantitative Research to leverage data and analytics to enhance the Sales business.
• Innovate and evolve core predictive models using diligent data analysis, traditional statistical reasoning, and advanced AI/ML techniques.
• Architect and manage the evolution of the code base, ensuring data quality and integrity, and collaborate with other teams to maximize scale and leverage across the organization.
• Present findings and insights to stakeholders to drive informed decision-making.

Required Qualifications, Capabilities, and Skills:

• 3+ years of post-graduate professional experience.
• Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.).
• Demonstrated experience applying AI/ML techniques, preferably in the financial industry.
• Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex, large-scale, high-dimensionality data from varying sources.
• Autonomy, excellent communication, and strong motivation.

Preferred Qualifications, Capabilities, and Skills:

• 3+ years of experience working in a quantitative group applying AI/ML and data science to investment and/or trading businesses.
• Experience working with Equity products and investment strategies.